/**
 * Copyright (C), 2020, Y2 T205
 * FileName: MallSearchServiceImpl
 * Author: Lenovo
 * Date: 2020-05-22 16:28
 * Description:
 * History:
 * <author> <time> <version> <desc>
 * 作者姓名 修改时间 版本号 描述
 */


package com.atguigu.gulimall.search.service.Impl;


import com.alibaba.fastjson.JSON;
import com.atguigu.common.to.es.SkuEsModel;
import com.atguigu.gulimall.search.config.GulimallElasticSearchConfig;
import com.atguigu.gulimall.search.constant.EsConstant;
import com.atguigu.gulimall.search.service.MallSearchService;
import com.atguigu.gulimall.search.vo.SearchParam;
import com.atguigu.gulimall.search.vo.SearchResult;
import lombok.val;
import org.apache.ibatis.javassist.runtime.Desc;
import org.apache.lucene.search.join.ScoreMode;
import org.elasticsearch.action.search.SearchRequest;
import org.elasticsearch.action.search.SearchResponse;
import org.elasticsearch.client.RestHighLevelClient;
import org.elasticsearch.index.query.*;
import org.elasticsearch.search.SearchHit;
import org.elasticsearch.search.SearchHits;
import org.elasticsearch.search.aggregations.Aggregation;
import org.elasticsearch.search.aggregations.AggregationBuilders;
import org.elasticsearch.search.aggregations.bucket.nested.NestedAggregationBuilder;
import org.elasticsearch.search.aggregations.bucket.nested.ParsedNested;
import org.elasticsearch.search.aggregations.bucket.terms.ParsedLongTerms;
import org.elasticsearch.search.aggregations.bucket.terms.ParsedStringTerms;
import org.elasticsearch.search.aggregations.bucket.terms.Terms;
import org.elasticsearch.search.aggregations.bucket.terms.TermsAggregationBuilder;
import org.elasticsearch.search.builder.SearchSourceBuilder;
import org.elasticsearch.search.fetch.subphase.highlight.HighlightBuilder;
import org.elasticsearch.search.fetch.subphase.highlight.HighlightField;
import org.elasticsearch.search.sort.SortOrder;
import org.springframework.beans.factory.annotation.Autowired;
import org.springframework.stereotype.Service;
import org.springframework.util.StringUtils;


import javax.swing.*;
import java.io.IOException;
import java.util.ArrayList;
import java.util.List;
import java.util.stream.Collectors;

/**
 * 〈一句话功能简述〉<br>
 * 〈〉
 *
 * @author Lenovo
 * @create 2020-05-22
 * @since 1.0.0
 */
@Service
public class MallSearchServiceImpl implements MallSearchService {

    @Autowired
    private RestHighLevelClient client;

    @Override
    public SearchResult search(SearchParam param) {
        SearchResult result=null;

//        1.动态构建出查询需要的dsl语句


//       1. 准备检索请求
        SearchRequest searchRequest =buildSearchRequest(param);
        try {
            //2.执行检索请求
            SearchResponse response = client.search(searchRequest, GulimallElasticSearchConfig.COMMON_OPTIONS);

//            3分析响应数据，分装成想要的格式'
          result = buildSearchResult(response,param);
        } catch (IOException e) {
            e.printStackTrace();
        }
        return result;
    }


    /*准备请求*/
    /*# 模糊匹配，过滤（按照属性，分类，品牌，价格区间，库存），排序，
# 分页 ，高亮显示，聚合分析*/
    private SearchRequest buildSearchRequest(SearchParam param) {
       SearchSourceBuilder sourceBuilder=new SearchSourceBuilder(); //构建dsl语句

        /*1.构建boolQuery*/
        BoolQueryBuilder boolQuery =QueryBuilders.boolQuery();

//        1.1must -模糊匹配
        if(!StringUtils.isEmpty(param.getKeyword())){
           boolQuery.must(QueryBuilders.matchQuery("skuTitle",param.getKeyword()));
        }
//        1.2bool -filter
        if(param.getCatalog3Id()!=null){
            boolQuery.filter(QueryBuilders.termQuery("catalogId",param.getCatalog3Id()));
        }
//        1.2bool -filter 按照三级分裂的id查询
        if(param.getBrandId()!=null && param.getBrandId().size()>0){
            boolQuery.filter(QueryBuilders.termsQuery("brandId",param.getBrandId()));
        }
//        1.2按照所有指定的属性进行查询

        if(param.getAttrs()!=null && param.getAttrs().size()>0){
            for(String attrStr:param.getAttrs()){
                BoolQueryBuilder nestedboolQuery= QueryBuilders.boolQuery();
                String [] s =attrStr.split("_");
                String attrId =s[0];   //检索属性的id
                String [] attrValues =s[1].split(":"); //这个属性的检索用的值
                nestedboolQuery.must(QueryBuilders.termQuery("attrs.attrId",attrId));
                nestedboolQuery.must(QueryBuilders.termsQuery("attrs.attrValue",attrValues));
//                每一个必须都得生成一个nested查询
                NestedQueryBuilder nestedQuery =QueryBuilders.nestedQuery("attrs",nestedboolQuery,ScoreMode.None);

                boolQuery.filter(nestedQuery);
            }
        }

//      1.2  按照是否有库存进行查询
        if(param.getHasStock()!=null){
            boolQuery.filter(QueryBuilders.termQuery("hasStock",param.getHasStock()==1));
        }

//        1.2 按照价格区间进行检索
        if(!StringUtils.isEmpty(param.getSkuPrice())){
            RangeQueryBuilder rangeQuery =QueryBuilders.rangeQuery("skuPrice");
            String[] s = param.getSkuPrice().split("_");
            if(s.length==2){
//                区间
                rangeQuery.gte(s[0]).lte(s[1]);
            }else if(s.length==1){
                if(param.getSkuPrice().startsWith("_")){
                    rangeQuery.lte(s[0]);
                }
                if(param.getSkuPrice().endsWith("_")){
                    rangeQuery.gte(s[0]);
                }
            }
            boolQuery.filter(rangeQuery);
        }


//讲以前所有的条件都那俩进行封装
        sourceBuilder.query(boolQuery);


        /*排序，分页，高亮*/
//        2.1排序
        if(!StringUtils.isEmpty(param.getSort())){
            String sort = param.getSort();
            String[] s = sort.split("_");
            SortOrder order =s[1].equalsIgnoreCase("asc")?SortOrder.ASC:SortOrder.DESC;
            sourceBuilder.sort(s[0],order);
        }
//        2.2分页
        sourceBuilder.from((param.getPageNum()-1)*EsConstant.PRODUCT_PAGESIZE);
        sourceBuilder.size(EsConstant.PRODUCT_PAGESIZE);

//        2.3高亮
        if(!StringUtils.isEmpty(param.getKeyword())){
            HighlightBuilder builder =new HighlightBuilder();
            builder.field("skuTitle");
            builder.preTags("<b style='color:red'>");
            builder.postTags("</b>");
            sourceBuilder.highlighter(builder);
        }


/*聚合分析*/

//        1.品牌聚合
        TermsAggregationBuilder brand_agg = AggregationBuilders.terms("brand_agg");
        brand_agg.field("brandId").size(50);
//        品牌的子聚合
        brand_agg.subAggregation(AggregationBuilders.terms("brand_name_agg").field("brandName").size(1));
        brand_agg.subAggregation(AggregationBuilders.terms("brand_img_agg").field("brandImg").size(1));

        sourceBuilder.aggregation(brand_agg);

        //        2.todo
//         分类聚合
        TermsAggregationBuilder catalog_agg = AggregationBuilders.terms("catalog_agg").field("catalogId").size(20);

//        子聚合
        catalog_agg.subAggregation(AggregationBuilders.terms("catalog_name_agg").field("catalogName.keyword").size(1));

        sourceBuilder.aggregation(catalog_agg);
//        3 属性聚合attr_agg  嵌入聚合
        NestedAggregationBuilder attr_agg = AggregationBuilders.nested("attr_agg", "attrs");
//        聚合出当前所有的attrId
        TermsAggregationBuilder attr_id_agg = AggregationBuilders.terms("attr_id_agg").field("attrs.attrId");
//        聚合Fenix出当前attr_id 对应的名字
        attr_id_agg.subAggregation(AggregationBuilders.terms("attr_name_agg").field("attrs.attrName").size(1));
        //聚合分析当前的attr_id所有对应的值AttrValue
        attr_id_agg.subAggregation(AggregationBuilders.terms("attr_value_agg").field("attrs.attrValue").size(50));
        attr_agg.subAggregation(attr_id_agg);
//        todo 聚合属性的信息
        sourceBuilder.aggregation(attr_agg);

        String s = sourceBuilder.toString();
        System.out.println("构建dsl"+s);

        SearchRequest searchRequest =new SearchRequest(new String[]{EsConstant.PRODUCT_INDEX},sourceBuilder);
       return  searchRequest;
    }


    /**
     * 构建结果数据
     * @param response
     * @return
     */

    private SearchResult buildSearchResult(SearchResponse response,SearchParam param) {

        SearchResult result =new SearchResult();
////        1.返回的所有查询到的商品
        SearchHits hits = response.getHits();
        List<SkuEsModel>  esModels =new ArrayList<>();
        if(hits.getHits().length>0) {
            for (SearchHit hit : hits.getHits()) {
                String sourceAsString = hit.getSourceAsString();
                SkuEsModel esModel = JSON.parseObject(sourceAsString, SkuEsModel.class);
                if(!StringUtils.isEmpty(param.getKeyword())){
                    HighlightField skuTitle = hit.getHighlightFields().get("skuTitle");
                    String string =skuTitle.getFragments()[0].string();
                    esModel.setSkuTitle(string);
                }
                esModels.add(esModel);
            }
        }
       result.setProducts(esModels);
////        2.当前所有商品的属性信息
        List<SearchResult.AttrVo> attrVos =new ArrayList<>();
     ParsedNested attr_agg=response.getAggregations().get("attr_agg");
      ParsedLongTerms attr_id_agg = attr_agg.getAggregations().get("attr_id_agg");
        for (Terms.Bucket bucket : attr_id_agg.getBuckets()) {
            SearchResult.AttrVo attrVo =new SearchResult.AttrVo();
//            1.得到属性的id
            Long attrId = bucket.getKeyAsNumber().longValue();
//            2.得到属性的名字
            String attrName = ((ParsedStringTerms) bucket.getAggregations().get("attr_name_agg")).getBuckets().get(0).getKeyAsString();
//            3.得到属性的所有值
            List<String> attrValues = ((ParsedStringTerms) bucket.getAggregations().get("attr_value_agg")).getBuckets().stream().map(item -> {
                String keyAsString = ((Terms.Bucket) item).getKeyAsString();
                return keyAsString;
            }).collect(Collectors.toList());
            attrVo.setAttrId(attrId);
            attrVo.setAttrName(attrName);
            attrVo.setAttrValue(attrValues);
            attrVos.add(attrVo);
        }

       result.setAttrs(attrVos);
////        3当前所有商品涉及到的所有品牌信息
   List<SearchResult.BrandVo> brandVos =new ArrayList<>();
        ParsedLongTerms brand_agg = response.getAggregations().get("brand_agg");
        for (Terms.Bucket bucket : brand_agg.getBuckets()) {
            SearchResult.BrandVo brandVo =new SearchResult.BrandVo();
//            1.得到品怕的id
            long brandId = bucket.getKeyAsNumber().longValue();
//            2.得到品怕名字
            String brandName = ((ParsedStringTerms) bucket.getAggregations().get("brand_name_agg")).getBuckets().get(0).getKeyAsString();
//            3.得到品怕的图片
            String brandImg = ((ParsedStringTerms) bucket.getAggregations().get("brand_img_agg")).getBuckets().get(0).getKeyAsString();

            brandVo.setBrandId(brandId);
            brandVo.setBrandName(brandName);
            brandVo.setBrandImg(brandImg);
            brandVos.add(brandVo);
        }
        result.setBrands(brandVos);
//
////        4分类
        ParsedLongTerms catalog_agg = response.getAggregations().get("catalog_agg");

        List<SearchResult.CatalogVo> catalogVos =new ArrayList<>();
        List<? extends Terms.Bucket> buckets =catalog_agg.getBuckets();
        for(Terms.Bucket bucket :buckets){
            SearchResult.CatalogVo catalogVo =new SearchResult.CatalogVo();
            String keyAsString = bucket.getKeyAsString();
//            得到分裂的id
            catalogVo.setCatalogId(Long.parseLong(keyAsString));

//            得到分裂名
            ParsedStringTerms catalog_name_agg = bucket.getAggregations().get("catalog_name_agg");
            String catalog_name = catalog_name_agg.getBuckets().get(0).getKeyAsString();
            catalogVo.setCatalogName(catalog_name);
            catalogVos.add(catalogVo);
        }
       result.setCatalogs(catalogVos);
//
//
//        /*-=========上面从聚合信息中获取=========*/
////        5分页 页码
       result.setPageNum(param.getPageNum());
////        6总记录数
        long total = (long)hits.getTotalHits();
         result.setTotal(total);
////        7.总页数

        int totalPages=(int) total % EsConstant.PRODUCT_PAGESIZE==0?(int)total/EsConstant.PRODUCT_PAGESIZE:(int)total/EsConstant.PRODUCT_PAGESIZE+1;
        result.setTotalPages(totalPages);


        List<Integer> pageNavs =new ArrayList<>();
        for(int i=1;i<=totalPages;i++){
            pageNavs.add(i);
        }

        result.setPageNavs(pageNavs);

        return result;
    }
}
